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Advances in joint roughness coefficient (JRC) and its engineering applications
Journal of Rock Mechanics and Geotechnical Engineering, 2023 The joint roughness coefficient (JRC), introduced in Barton (1973) represented a new method in rock mechanics and rock engineering to deal with problems related to joint roughness and shear strength estimation.
Nick Barton, Changshuo Wang, Rui Yong
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Effect of joint roughness coefficient and size on shear and characteristic strengths of structural planes [PDF]
PLoS ONE, 2022 Joint roughness coefficients (JRCs) influence the shear and characteristic strengths of structural planes; however, the relationship model of this influence is yet to be derived.
Gaojian Hu +5 more
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Data-driven estimation of joint roughness coefficient
Journal of Rock Mechanics and Geotechnical Engineering, 2021 Joint roughness is one of the most important issues in the hydromechanical behavior of rock mass. Therefore, the joint roughness coefficient (JRC) estimation is of paramount importance in geomechanics engineering applications.
Hadi Fathipour-Azar
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Expression and Analysis of Joint Roughness Coefficient Using Neutrosophic Number Functions [PDF]
Information, 2017 In nature, the mechanical properties of geological bodies are very complex, and its various mechanical parameters are vague, incomplete, imprecise, and indeterminate.
Jun Ye, Jiqian Chen, Rui Yong, Shigui Du
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Shear behaviours and roughness degeneration based on a quantified rock joint surface description
International Journal of Mining Science and Technology, 2023 The asperity wear of rock joints significantly affects their shear behaviour. This study discusses the wear damage of the asperities on the joint surface, highlighting the roughness degradation characteristics during the shear process.
Shubo Zhang +4 more
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Symbolic Regression for the Determination of Joint Roughness Coefficient
Mathematical and Computational ApplicationsIn this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints.
Yuyang Zhao, Hongbo Zhao
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Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers [PDF]
Symmetry, 2017 In nature, the mechanical properties of geological bodies are very complex, and their various mechanical parameters are vague, incomplete, imprecise, and indeterminate. However, we cannot express them by the crisp values in classical probability and statistics.
Shigui Du, Jun Ye, Rui Yong
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Experimental investigation of the influence of friction, surface roughness and material hardness on the external load factor in threaded joints. [PDF]
PLoS ONEThreaded joints, particularly bolted joints, are critical components in the design and fabrication of mechanical systems due to their high strength and ease of disassembly. Their widespread application spans across structural engineering, transportation,
Van Thuy Tran, Huu Loc Nguyen
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Sustainability, 2022 Accurate determination of the surface roughness is of significant importance in estimating the mechanical and hydraulic behaviors of rock joints. The correlation between joint roughness coefficient (JRC) and various statistical roughness parameters calculated from digitized Barton’s roughness profiles was explored with Pearson’s correlation coefficient
Yakun Wang, Xiaobo Liu, Wang Yakun
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Frontiers in Earth ScienceDetermining the joint roughness accurately will better serve the peak shear strength estimation models of rock joints used for stability assessment of rock masses.
Cheng He +4 more
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